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Title: Microgrid Optimal Scheduling With Chance-Constrained Islanding Capability

Abstract

To facilitate the integration of variable renewable generation and improve the resilience of electricity sup-ply in a microgrid, this paper proposes an optimal scheduling strategy for microgrid operation considering constraints of islanding capability. A new concept, probability of successful islanding (PSI), indicating the probability that a microgrid maintains enough spinning reserve (both up and down) to meet local demand and accommodate local renewable generation after instantaneously islanding from the main grid, is developed. The PSI is formulated as mixed-integer linear program using multi-interval approximation taking into account the probability distributions of forecast errors of wind, PV and load. With the goal of minimizing the total operating cost while preserving user specified PSI, a chance-constrained optimization problem is formulated for the optimal scheduling of mirogrids and solved by mixed integer linear programming (MILP). Numerical simulations on a microgrid consisting of a wind turbine, a PV panel, a fuel cell, a micro-turbine, a diesel generator and a battery demonstrate the effectiveness of the proposed scheduling strategy. Lastly, we verify the relationship between PSI and various factors.

Authors:
 [1];  [1];  [1];  [2];  [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Power and Energy Systems Group
  2. Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE; National Science Foundation (NSF)
OSTI Identifier:
1339363
Grant/Contract Number:
AC05-00OR22725; EEC-1041877
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Electric Power Systems Research
Additional Journal Information:
Journal Volume: 145; Journal ID: ISSN 0378-7796
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; Microgrid; optimal scheduling; spinning reserve; islanding capability; chance constraints; mixed-integer linear programming (MILP)

Citation Formats

Liu, Guodong, Starke, Michael R., Xiao, B., Zhang, Xiaohu, and Tomsovic, Kevin. Microgrid Optimal Scheduling With Chance-Constrained Islanding Capability. United States: N. p., 2017. Web. doi:10.1016/j.epsr.2017.01.014.
Liu, Guodong, Starke, Michael R., Xiao, B., Zhang, Xiaohu, & Tomsovic, Kevin. Microgrid Optimal Scheduling With Chance-Constrained Islanding Capability. United States. doi:10.1016/j.epsr.2017.01.014.
Liu, Guodong, Starke, Michael R., Xiao, B., Zhang, Xiaohu, and Tomsovic, Kevin. Fri . "Microgrid Optimal Scheduling With Chance-Constrained Islanding Capability". United States. doi:10.1016/j.epsr.2017.01.014. https://www.osti.gov/servlets/purl/1339363.
@article{osti_1339363,
title = {Microgrid Optimal Scheduling With Chance-Constrained Islanding Capability},
author = {Liu, Guodong and Starke, Michael R. and Xiao, B. and Zhang, Xiaohu and Tomsovic, Kevin},
abstractNote = {To facilitate the integration of variable renewable generation and improve the resilience of electricity sup-ply in a microgrid, this paper proposes an optimal scheduling strategy for microgrid operation considering constraints of islanding capability. A new concept, probability of successful islanding (PSI), indicating the probability that a microgrid maintains enough spinning reserve (both up and down) to meet local demand and accommodate local renewable generation after instantaneously islanding from the main grid, is developed. The PSI is formulated as mixed-integer linear program using multi-interval approximation taking into account the probability distributions of forecast errors of wind, PV and load. With the goal of minimizing the total operating cost while preserving user specified PSI, a chance-constrained optimization problem is formulated for the optimal scheduling of mirogrids and solved by mixed integer linear programming (MILP). Numerical simulations on a microgrid consisting of a wind turbine, a PV panel, a fuel cell, a micro-turbine, a diesel generator and a battery demonstrate the effectiveness of the proposed scheduling strategy. Lastly, we verify the relationship between PSI and various factors.},
doi = {10.1016/j.epsr.2017.01.014},
journal = {Electric Power Systems Research},
number = ,
volume = 145,
place = {United States},
year = {Fri Jan 13 00:00:00 EST 2017},
month = {Fri Jan 13 00:00:00 EST 2017}
}

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